Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.
2006
QA274.4 .R37 2006eb
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Online Access through The MIT Press Direct
Details
Title
Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.
Author
Rasmussen, Carl Edward.
ISBN
9780262256834 (electronic bk.)
0262256835 (electronic bk.)
1423769902 (electronic bk.)
9781423769903 (electronic bk.)
9780262182539
026218253X
0262256835 (electronic bk.)
1423769902 (electronic bk.)
9781423769903 (electronic bk.)
9780262182539
026218253X
Publication Details
Cambridge, Mass. : MIT Press, ©2006.
Language
English
Description
1 online resource (xviii, 248 pages) : illustrations.
Call Number
QA274.4 .R37 2006eb
Dewey Decimal Classification
519.2/3
Summary
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics."--Jacket.
Source of Description
OCLC-licensed vendor bibliographic record.
Added Author
Williams, Christopher K. I.
Record Appears in
Online Resources > Ebooks
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